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» Nonlinear Knowledge-Based Classification
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EOR
2006
65views more  EOR 2006»
13 years 7 months ago
Self-organizing maps could improve the classification of Spanish mutual funds
In this paper, we apply nonlinear techniques (Self-Organizing Maps, k-nearest neighbors and the k-means algorithm) to evaluate the official Spanish mutual funds classification. Th...
David Moreno, Paulina Marco, Ignacio Olmeda
PRL
2008
81views more  PRL 2008»
13 years 7 months ago
Selecting and constructing features using grammatical evolution
A novel method for feature selection and construction is introduced. The method improves the classification accuracy, utilizing the well-established technique of grammatical evolu...
Dimitris Gavrilis, Ioannis G. Tsoulos, Evangelos D...
MTSR
2007
Springer
14 years 1 months ago
Using Agricultural Ontologies
Despite the growing number of ontologies online available, their range of application in real world projects is comparatively limited. This paper describes the construction of an o...
Michael T. Maliappis
TITB
2008
102views more  TITB 2008»
13 years 7 months ago
Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kern
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...
Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Jo...
SIAMMA
2010
90views more  SIAMMA 2010»
13 years 2 months ago
A General Proximity Analysis of Nonlinear Subdivision Schemes
In recent work nonlinear subdivision schemes which operate on manifold-valued data have been successfully analyzed with the aid of so-called proximity conditions bounding the diffe...
Philipp Grohs